mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-02 20:51:23 +00:00
Re-enable optimization for gfx950 fmha fwd (#2671)
* Fix for fwd/bwd kernel build filter * fix bwd code * save an example for __bf16 type * temp save, waiting for debug * tempsave, fmha_decode * temp save, change all instance to 1wave * fix async copytest bug * Add block_sync_lds_direct_load utility * fix the s_waitcnt_imm calculation * Improve s_waitcnt_imm calculation * fix vmcnt shift * add input validation and bug fix * remove unnecessary output * move test_copy into test * temp save * tempsave * compile pass * tempsave, trload+asyncload done * tempsave. asynccopy+trload sanity checked * remove unnecessary features * fix the lds alignment caused performance regression * enable prefill overload operator(). * remove all lds bankconflict with xor layouts * enable larger tile size; upgrade xor pattern * upgrade prefill pipeline; simple iglp; consistent data produce and consume order * small refactor * Load Q through lds, implement xor; * add vmcnt guard before load ktile * Add v_permlaneb32 for block_reduce. Disable it as it will cause un-coexecutable packed math in FA * Add XOR fold strategy for hdim<128, but perf dropped; disable it by default; wait further perf debug * add __restrict__ to tr load * merge fa_decode pipeline into fmha_fwd api * remove unnecessary files; rename some files * Remove unnecessary changes * bug fix, clang format; * remove non-necessary change * fix clangformat with 18.1.3 * fix bugs * fix bug * fix bug on non-gfx950 * fix bugs in gemm * fix bug in pki4 * tempsave, update the blocksync functions * change the warp setting for hdim32 fmha fwd * clang format * fix conflict. disable all v-col instance for fmha fwd * Fix the bug * clang format * refactor blockgemm change, isolate to v2; --------- Co-authored-by: Max Podkorytov <4273004+tenpercent@users.noreply.github.com> Co-authored-by: asleepzzz <hanwen.chang@amd.com>
This commit is contained in:
Haocong WANG
372
include/ck_tile/ops/gemm/block/block_gemm_areg_breg_creg_v2.hpp
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372
include/ck_tile/ops/gemm/block/block_gemm_areg_breg_creg_v2.hpp
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2025, Advanced Micro Devices, Inc. All rights reserved.
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#pragma once
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#include "ck_tile/core.hpp"
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#include "ck_tile/ops/gemm/block/block_gemm_areg_breg_creg_v2_custom_policy.hpp"
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namespace ck_tile {
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// This BlockGemm enhanced the control over inst issue order
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// A is block distributed tensor
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// B is block distributed tensor
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// C is block distributed tensor
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template <typename Problem_, typename Policy_>
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struct BlockGemmARegBRegCRegV2
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{
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private:
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template <typename PipelineProblem_, typename GemmPolicy_>
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struct GemmTraits_
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{
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using Problem = remove_cvref_t<PipelineProblem_>;
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using Policy = remove_cvref_t<GemmPolicy_>;
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using ADataType = remove_cvref_t<typename Problem::ADataType>;
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using BDataType = remove_cvref_t<typename Problem::BDataType>;
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using CDataType = remove_cvref_t<typename Problem::CDataType>;
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using BlockGemmShape = remove_cvref_t<typename Problem::BlockGemmShape>;
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static constexpr index_t kBlockSize = Problem::kBlockSize;
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static constexpr index_t MPerBlock = BlockGemmShape::kM;
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static constexpr index_t NPerBlock = BlockGemmShape::kN;
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static constexpr index_t KPerBlock = BlockGemmShape::kK;
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static constexpr auto config = Policy::template GetWarpGemmMWarpNWarp<Problem>();
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using WarpGemm = remove_cvref_t<decltype(config.template at<0>())>;
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static constexpr index_t MWarp = config.template at<1>();
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static constexpr index_t NWarp = config.template at<2>();
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static constexpr index_t MIterPerWarp = MPerBlock / (MWarp * WarpGemm::kM);
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static constexpr index_t NIterPerWarp = NPerBlock / (NWarp * WarpGemm::kN);
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static constexpr index_t KIterPerWarp = KPerBlock / WarpGemm::kK;
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static constexpr auto BlockGemmLoopOrder = Policy::BlockGemmLoopOrder;
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static constexpr index_t KPack = WarpGemm::kKPerThread;
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};
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public:
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using Problem = remove_cvref_t<Problem_>;
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using Policy = remove_cvref_t<Policy_>;
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using Traits = GemmTraits_<Problem, Policy>;
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using WarpGemm = typename Traits::WarpGemm;
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using BlockGemmShape = typename Traits::BlockGemmShape;
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static constexpr auto BlockGemmLoopOrder = Traits::BlockGemmLoopOrder;
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using ADataType = remove_cvref_t<typename Traits::ADataType>;
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using BDataType = remove_cvref_t<typename Traits::BDataType>;
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using CDataType = remove_cvref_t<typename Traits::CDataType>;
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static constexpr index_t KIterPerWarp = Traits::KIterPerWarp;
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static constexpr index_t MIterPerWarp = Traits::MIterPerWarp;
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static constexpr index_t NIterPerWarp = Traits::NIterPerWarp;
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static constexpr index_t MWarp = Traits::MWarp;
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static constexpr index_t NWarp = Traits::NWarp;
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static constexpr bool UseDefaultScheduler = (Problem::NumWaveGroups != 1);
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CK_TILE_DEVICE static constexpr auto MakeABlockDistributionEncode()
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{
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if constexpr(UseDefaultScheduler)
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{
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constexpr auto a_block_outer_dstr_encoding =
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tile_distribution_encoding<sequence<NWarp>,
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tuple<sequence<MIterPerWarp>, sequence<KIterPerWarp>>,
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tuple<>,
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tuple<>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
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return a_block_dstr_encode;
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}
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else
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{
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if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
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{
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constexpr auto a_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<NWarp>,
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tuple<sequence<MIterPerWarp, MWarp>, sequence<KIterPerWarp>>,
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tuple<sequence<1, 0>>,
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tuple<sequence<1, 0>>,
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sequence<2, 1>,
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sequence<0, 0>>{};
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constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
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return a_block_dstr_encode;
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}
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else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
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{
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constexpr auto a_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<NWarp>,
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tuple<sequence<MIterPerWarp, MWarp>, sequence<KIterPerWarp>>,
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tuple<sequence<1, 0>>,
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tuple<sequence<1, 0>>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto a_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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a_block_outer_dstr_encoding, typename WarpGemm::AWarpDstrEncoding{});
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return a_block_dstr_encode;
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}
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}
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}
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CK_TILE_DEVICE static constexpr auto MakeBBlockDistributionEncode()
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{
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if constexpr(UseDefaultScheduler)
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{
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constexpr auto b_block_outer_dstr_encoding =
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tile_distribution_encoding<sequence<MWarp>,
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tuple<sequence<NIterPerWarp>, sequence<KIterPerWarp>>,
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tuple<>,
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tuple<>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
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return b_block_dstr_encode;
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}
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else
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{
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if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
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{
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constexpr auto b_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<MWarp>,
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tuple<sequence<NIterPerWarp, NWarp>, sequence<KIterPerWarp>>,
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tuple<sequence<0, 1>>,
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tuple<sequence<0, 1>>,
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sequence<2, 1>,
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sequence<0, 0>>{};
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constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
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return b_block_dstr_encode;
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}
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else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
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{
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constexpr auto b_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<MWarp>,
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tuple<sequence<NIterPerWarp, NWarp>, sequence<KIterPerWarp>>,
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tuple<sequence<0, 1>>,
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tuple<sequence<0, 1>>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto b_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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b_block_outer_dstr_encoding, typename WarpGemm::BWarpDstrEncoding{});
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return b_block_dstr_encode;
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}
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}
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}
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CK_TILE_DEVICE static constexpr auto MakeCBlockDistributionEncode()
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{
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if constexpr(UseDefaultScheduler)
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{
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constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<MWarp>,
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tuple<sequence<MIterPerWarp>, sequence<NIterPerWarp, NWarp>>,
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tuple<>,
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tuple<>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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c_block_outer_dstr_encoding, typename WarpGemm::CWarpDstrEncoding{});
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return c_block_dstr_encode;
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}
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else
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{
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constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<>,
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tuple<sequence<MIterPerWarp, MWarp>, sequence<NIterPerWarp, NWarp>>,
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tuple<sequence<1, 2>>,
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tuple<sequence<1, 1>>,
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sequence<1, 2>,
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sequence<0, 0>>{};
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constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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c_block_outer_dstr_encoding, typename WarpGemm::CWarpDstrEncoding{});
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return c_block_dstr_encode;
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}
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}
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// C += A * B
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template <typename CBlockTensor, typename ABlockTensor, typename BBlockTensor>
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CK_TILE_DEVICE void operator()(CBlockTensor& c_block_tensor,
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const ABlockTensor& a_block_tensor,
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const BBlockTensor& b_block_tensor) const
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{
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static_assert(std::is_same_v<ADataType, remove_cv_t<typename ABlockTensor::DataType>> &&
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std::is_same_v<BDataType, remove_cv_t<typename BBlockTensor::DataType>> &&
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std::is_same_v<CDataType, remove_cv_t<typename CBlockTensor::DataType>>,
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"wrong!");
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// check ABC-block-distribution
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static_assert(
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std::is_same_v<remove_cvref_t<decltype(MakeABlockDistributionEncode())>,
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remove_cvref_t<decltype(ABlockTensor::get_tile_distribution()
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.get_static_tile_distribution_encoding())>>,
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"A distribution is wrong!");
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static_assert(
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std::is_same_v<remove_cvref_t<decltype(MakeBBlockDistributionEncode())>,
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remove_cvref_t<decltype(BBlockTensor::get_tile_distribution()
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.get_static_tile_distribution_encoding())>>,
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"B distribution is wrong!");
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static_assert(
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std::is_same_v<remove_cvref_t<decltype(MakeCBlockDistributionEncode())>,
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remove_cvref_t<decltype(CBlockTensor::get_tile_distribution()
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.get_static_tile_distribution_encoding())>>,
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"C distribution is wrong!");
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using AWarpDstr = typename WarpGemm::AWarpDstr;
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using BWarpDstr = typename WarpGemm::BWarpDstr;
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using CWarpDstr = typename WarpGemm::CWarpDstr;
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using AWarpTensor = typename WarpGemm::AWarpTensor;
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using BWarpTensor = typename WarpGemm::BWarpTensor;
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using CWarpTensor = typename WarpGemm::CWarpTensor;
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constexpr auto a_warp_y_lengths =
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to_sequence(AWarpDstr{}.get_ys_to_d_descriptor().get_lengths());
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constexpr auto b_warp_y_lengths =
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to_sequence(BWarpDstr{}.get_ys_to_d_descriptor().get_lengths());
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constexpr auto c_warp_y_lengths =
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to_sequence(CWarpDstr{}.get_ys_to_d_descriptor().get_lengths());
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constexpr auto a_warp_y_index_zeros = uniform_sequence_gen_t<AWarpDstr::NDimY, 0>{};
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constexpr auto b_warp_y_index_zeros = uniform_sequence_gen_t<BWarpDstr::NDimY, 0>{};
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constexpr auto c_warp_y_index_zeros = uniform_sequence_gen_t<CWarpDstr::NDimY, 0>{};
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// hot loop:
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if constexpr(BlockGemmLoopOrder == GemmLoopOrder::KMN)
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{
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static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
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static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
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// read A warp tensor from A Block window
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AWarpTensor a_warp_tensor;
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a_warp_tensor.get_thread_buffer() = a_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<kIter, mIter>{}, a_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, a_warp_y_lengths));
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static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
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// read B warp tensor from B block tensor
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BWarpTensor b_warp_tensor;
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b_warp_tensor.get_thread_buffer() = b_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<kIter, nIter>{}, b_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, b_warp_y_lengths));
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CWarpTensor c_warp_tensor;
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c_warp_tensor.get_thread_buffer() = c_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
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// warp GEMM
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WarpGemm{}(c_warp_tensor, a_warp_tensor, b_warp_tensor);
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// write C warp tensor into C block tensor
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c_block_tensor.set_y_sliced_thread_data(
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merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
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c_warp_tensor.get_thread_buffer());
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});
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});
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});
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}
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else if constexpr(BlockGemmLoopOrder == GemmLoopOrder::MNK)
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{
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static_for<0, MIterPerWarp, 1>{}([&](auto mIter) {
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static_for<0, NIterPerWarp, 1>{}([&](auto nIter) {
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static_for<0, KIterPerWarp, 1>{}([&](auto kIter) {
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// read A warp tensor from A Block window
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AWarpTensor a_warp_tensor;
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a_warp_tensor.get_thread_buffer() = a_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<mIter, kIter>{}, a_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, a_warp_y_lengths));
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// read B warp tensor from B block tensor
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BWarpTensor b_warp_tensor;
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b_warp_tensor.get_thread_buffer() = b_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<nIter, kIter>{}, b_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, b_warp_y_lengths));
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// read C warp tensor from C block tensor
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CWarpTensor c_warp_tensor;
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c_warp_tensor.get_thread_buffer() = c_block_tensor.get_y_sliced_thread_data(
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merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, c_warp_y_lengths));
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// warp GEMM
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WarpGemm{}(c_warp_tensor, a_warp_tensor, b_warp_tensor);
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// write C warp tensor into C block tensor
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c_block_tensor.set_y_sliced_thread_data(
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merge_sequences(sequence<mIter, nIter>{}, c_warp_y_index_zeros),
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merge_sequences(sequence<1, 1>{}, c_warp_y_lengths),
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c_warp_tensor.get_thread_buffer());
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});
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});
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});
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}
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}
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CK_TILE_DEVICE static constexpr auto MakeCBlockTile()
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{
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if constexpr(UseDefaultScheduler)
|
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{
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constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
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sequence<MWarp>,
|
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tuple<sequence<MIterPerWarp>, sequence<NIterPerWarp, NWarp>>,
|
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tuple<>,
|
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tuple<>,
|
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sequence<1, 2>,
|
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sequence<0, 0>>{};
|
||||
|
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constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
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c_block_outer_dstr_encoding, typename WarpGemm::CWarpDstrEncoding{});
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constexpr auto c_block_dstr = make_static_tile_distribution(c_block_dstr_encode);
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auto c_block_tensor = make_static_distributed_tensor<CDataType>(c_block_dstr);
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return c_block_tensor;
|
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}
|
||||
else
|
||||
{
|
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constexpr auto c_block_outer_dstr_encoding = tile_distribution_encoding<
|
||||
sequence<>,
|
||||
tuple<sequence<MIterPerWarp, MWarp>, sequence<NIterPerWarp, NWarp>>,
|
||||
tuple<sequence<1, 2>>,
|
||||
tuple<sequence<1, 1>>,
|
||||
sequence<1, 2>,
|
||||
sequence<0, 0>>{};
|
||||
|
||||
constexpr auto c_block_dstr_encode = detail::make_embed_tile_distribution_encoding(
|
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c_block_outer_dstr_encoding, typename WarpGemm::CWarpDstrEncoding{});
|
||||
constexpr auto c_block_dstr = make_static_tile_distribution(c_block_dstr_encode);
|
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auto c_block_tensor = make_static_distributed_tensor<CDataType>(c_block_dstr);
|
||||
return c_block_tensor;
|
||||
}
|
||||
}
|
||||
|
||||
// C = A * B
|
||||
template <typename ABlockTensor, typename BBlockTensor>
|
||||
CK_TILE_DEVICE auto operator()(const ABlockTensor& a_block_tensor,
|
||||
const BBlockTensor& b_block_tensor) const
|
||||
{
|
||||
auto c_block_tensor = MakeCBlockTile();
|
||||
operator()(c_block_tensor, a_block_tensor, b_block_tensor);
|
||||
return c_block_tensor;
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
@@ -0,0 +1,45 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#pragma once
|
||||
|
||||
#include "ck_tile/core.hpp"
|
||||
|
||||
namespace ck_tile {
|
||||
|
||||
enum struct GemmLoopOrder
|
||||
{
|
||||
KMN,
|
||||
MNK,
|
||||
};
|
||||
|
||||
template <typename AType_,
|
||||
typename BType_,
|
||||
typename CType_,
|
||||
typename BlockWarps_,
|
||||
typename WarpGemm_,
|
||||
GemmLoopOrder BlockGemmLoopOrder_ = GemmLoopOrder::KMN>
|
||||
struct BlockGemmARegBRegCRegV2CustomPolicy
|
||||
{
|
||||
using AType = remove_cvref_t<AType_>;
|
||||
using BType = remove_cvref_t<BType_>;
|
||||
using CType = remove_cvref_t<CType_>;
|
||||
|
||||
using BlockWarps = remove_cvref_t<BlockWarps_>;
|
||||
|
||||
static constexpr index_t kMWarps = BlockWarps::at(number<0>{});
|
||||
static constexpr index_t kNWarps = BlockWarps::at(number<1>{});
|
||||
static constexpr index_t kKWarps = BlockWarps::at(number<2>{});
|
||||
|
||||
using WarpGemm = remove_cvref_t<WarpGemm_>;
|
||||
|
||||
static constexpr auto BlockGemmLoopOrder = BlockGemmLoopOrder_;
|
||||
|
||||
template <typename Problem>
|
||||
CK_TILE_HOST_DEVICE static constexpr auto GetWarpGemmMWarpNWarp()
|
||||
{
|
||||
return make_tuple(WarpGemm{}, kMWarps, kNWarps);
|
||||
}
|
||||
};
|
||||
|
||||
} // namespace ck_tile
|
||||
Reference in New Issue
Block a user